Multi-output regression/classification in one model is useful when:

Question

Accepted Answer

Related targets benefit from shared features/representations and joint training — Multi-output when targets share structure — joint learning can help.

Answer

Targets are independent and never share structure

Answer

You must avoid any shared representation

Answer

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Multi-output regression/classification in one model is useful when:

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